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In today's world, computation has become a vital tool for scientific discovery. In many cases computational needs of researchers go far beyond individual workstation and require use of computing clusters.
The University Major High Performance Computing (HPC) facility is called Iridis. Since 2013 the University is running two Iridis supercomputers at the same time making it one of the top supercomputing sites in the UK. This service enables larger, broader and more complex computation than ever before - work that could have taken months or years now can be done in hours or days.
In 2009 the University launched a dedicated Computational Modelling Group which brings together University researchers and students united through the use of computational methods in their research. A reach spectrum of research projects in this group is based on Iridis computational power.
High Performance Computing technologies continue to change at a very rapid pace. As a result, it is critical to ensure that the right set of skills and expertise are available and aligned with growing demand. The Linux cluster Lyceum is dedicated for use by undergraduate and MSc students, to enable the next generation of computational scientists to make full use of this important technology.
For detailed information follow the links to the following major services:
Iridis
This facility is intended for faculty members. Any researcher who is limited by the computing capability of their desktop PC may find HPC beneficial. These limits may be for processing power, memory size or data storage.
Lyceum
A smaller but very capable Linux cluster intended mainly for undergraduate and MSc project work. It has a powerful head node for interactive work and 16 beefy compute nodes for longer batch jobs, all together they can reach 1.3 TFlops performance.
Individual MSc & undergraduate students who require access to Lyceum will need to get their course tutor to email Serviceline. Alternatively course tutors can email Serviceline with a list of students who require access to the cluster.